{"id":"W3006263173","doi":"10.1145/3143314.3078529","title":"Optimal Posted Prices for Online Cloud Resource Allocation","year":2017,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Cloud computing; Renting; Resource (disambiguation); Resource allocation; Computer science; Function (biology); Resource management (computing); Microeconomics; Business; Environmental economics; Operations research; Economics; Distributed computing; Mathematics; Computer network; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007009814,0.001607486,0.002442114,0.001294742,0.001078745,0.003993558,0.002796139,0.002581527,0.00442978],"category_scores_gemma":[0.02867948,0.001445759,0.001030791,0.001561874,0.002529767,0.006251939,0.001700285,0.002647657,0.0005772053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005360247,"about_ca_system_score_gemma":0.003824555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00420115,"about_ca_topic_score_gemma":0.002734379,"domain_scores_codex":[0.9957927,0.002128219,0.0001781273,0.0004569973,0.0007046068,0.0007392382],"domain_scores_gemma":[0.9807684,0.01515449,0.001248053,0.0007106437,0.001258202,0.0008601742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002792388,0.0003325714,0.0007820242,0.0002195406,0.00008344599,0.0001366538,0.0001109865,0.8420795,0.001530137,0.125066,0.002646321,0.02673363],"study_design_scores_gemma":[0.00003170215,0.00006317486,0.0001444355,0.00001416505,0.00001893934,0.00002788186,0.00002629249,0.9594126,0.0003613436,0.03915697,0.000725571,0.00001683217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1080022,0.002074202,0.8691937,0.001928853,0.0004231204,0.0003858681,0.0002353827,0.0004565274,0.01729998],"genre_scores_gemma":[0.9186988,0.001193958,0.07270487,0.0002483365,0.0002902204,0.0002285388,0.0001243191,0.0001696595,0.006341328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007009814,"threshold_uncertainty_score":0.03889149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09062879271793992,"score_gpt":0.3616161231277518,"score_spread":0.2709873304098118,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}